CN112784498B - Flexible pipeline three-dimensional numerical simulation method based on complex marine environment - Google Patents

Flexible pipeline three-dimensional numerical simulation method based on complex marine environment Download PDF

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CN112784498B
CN112784498B CN202110228605.6A CN202110228605A CN112784498B CN 112784498 B CN112784498 B CN 112784498B CN 202110228605 A CN202110228605 A CN 202110228605A CN 112784498 B CN112784498 B CN 112784498B
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CN112784498A (en
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成小飞
朱文谨
董啸天
杨君
李天宇
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Fujian Strait Harbor Engineering Construction Co.,Ltd.
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Jiangsu Ocean University
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Abstract

The invention relates to the technical field of flexible pipeline three-dimensional simulation, in particular to a flexible pipeline test system and a three-dimensional numerical simulation method based on a complex marine environment. The method combines a numerical calculation simulation method and a physical model test method, and utilizes the two methods to carry out cross validation, so that the numerical calculation and the physical model test can obtain the result as accurate as possible; meanwhile, the convergence speed and efficiency of numerical calculation are increased by using neural network learning.

Description

Flexible pipeline three-dimensional numerical simulation method based on complex marine environment
Technical Field
The invention relates to the technical field of marine pipelines, in particular to a test system and a numerical simulation method for a flexible pipeline in a complex marine environment.
Background
In recent decades, countries around the world have kept sufficient vigilance as to the conflict between near infinite energy demand and limited fossil resource reserves. Especially, since the 70 s of the last century, a plurality of oil crisis outbreaks have caused long-term structural changes in the world energy market, and main oil imports in the world begin to search for alternative energy continuously and actively and develop energy-saving technology. However, because the development and market promotion of energy-saving products often require a large amount of time and capital investment, and a large amount of alternative energy sources with stable supply are still in a long search process, the situation of the world over-dependence on fossil energy sources is still difficult to change fundamentally in the foreseeable future.
To obtain more oil, people aim at offshore oil and are conducting large-scale offshore oil production. With the large-scale exploitation of marine oil and gas resources, subsea pipelines have gained a great deal of use. The pipeline structure laid at the present stage is divided into a single-pipe structure and a pipe bundle structure, wherein the pipe sub-pipe structure is also applied to a large number of practical applications as one of the pipe bundle structures.
In the laying and using of the pipe system, the pipe system can be influenced by ocean waves, ocean currents and the like to cause the pipe system to move, the pipe system can be caused to shift or be subjected to overlarge pulling force or local deformation, the expected service life of a light person is shortened, the pipe system can be caused to break by a heavy person, and serious leakage accidents occur. Therefore, it is very important to perform numerical simulation on the pipe before the pipe is laid. At present, systematic and effective simulation is not carried out on a pipeline for conveying oil gas at the sea bottom, or after numerical simulation is carried out, only an effective combined verification method of numerical simulation and model test is carried out after model test verification is carried out, so that more times, numerical simulation is only used for numerical calculation and research, more model tests are only a means for verifying an optimized scheme, and when the model test verification cannot meet the use condition, optimization is carried out again, or corresponding parameters are adjusted, and simulation calculation and model tests are carried out again. Moreover, in the case of model tests, as a characteristic of fluid mechanics, scaling effects occur due to the fact that the piping is scaled in equal proportion to the actual installation, which can lead to large errors in numerical simulation and model tests and even to opposite or meaningless structures, which are clearly disadvantageous for simulation calculations and model tests and lead to calculation failures. The most accurate is to carry out model test of actual size, but the cost of the model of the actual size is higher, which leads to the result that the economic cost and the time cost are higher, and the method is not favorable for enterprises in terms of actual use value.
On the other hand, as known to those skilled in the art of numerical computation, the numerical three-dimensional simulation is essentially to solve the numerical solution of a complex differential equation, which is to obtain the closest approximate numerical solution by continuously approximating the numerical solution using a numerical computation method, i.e., continuously adjusting the input value to solve the closest solution, which usually takes a long time, and the requirement on the host computer of the computation is high due to the large number of equations to be solved, i.e., the investment cost is high. An important factor influencing the convergence rate of numerical calculation is the selection of an initial value, which usually depends on the experience of a calculator or sets a conventional numerical value; however, this has a great problem, on one hand, it requires too much experience for the calculator, and if the conventional value is used as the initial value, it will result in too long convergence time and waste of calculation resources for the user. If a fast calculation method could be provided, it would be necessary to provide more complex algorithms and provide more excellent simulation solutions.
In view of the above technical problems, there is no effective technical solution in the prior art to solve the above technical problems. Therefore, it is desirable to provide a more economical and simple numerical simulation means for flexible pipes, so as to solve the above technical problems.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a test system of a flexible pipeline based on a complex marine environment, which can perform numerical calculation and numerical simulation and can quickly calculate and analyze a result, thereby solving the problems of saving time and cost and providing calculation efficiency.
The invention is realized by the following technical scheme:
a test system of a flexible pipeline based on a complex marine environment is characterized by comprising a model input module, a numerical simulation module, a physical model test module, an experience learning library module and an upper computer;
the model input module is used for creating a flexible pipeline and marine environment CAD model based on a complex marine environment, and is respectively connected with the numerical simulation module and the physical model test module; after the CAD model is finished, the CAD model is sent to a numerical simulation module and an object model testing module;
the numerical simulation module comprises a numerical calculation grid generation module, a boundary condition input module, a numerical calculation module and a CAD three-dimensional numerical display module, and is connected with an upper computer; the numerical simulation module forms a grid capable of numerical calculation through a calculation grid production module after receiving a CAD model, the boundary condition input module acquires a calculation boundary condition input in the upper computer, the numerical calculation module performs three-dimensional numerical calculation according to the numerical calculation grid and the boundary condition generated by the numerical calculation grid generation module, and sends a three-dimensional numerical calculation result to a CAD three-dimensional numerical display module for display, and meanwhile, sends three-dimensional numerical calculation result data to the upper computer;
the experience learning library module comprises a practical example library module and a past calculation example library module, and the experience learning module is in signal connection with the numerical simulation module, the model input module and the physical model testing module; the practical example library module records the use and actual measurement data of the conventional seabed flexible pipeline; the previous calculation example library module stores the result and the calculation model of each three-dimensional numerical calculation;
the physical model testing module comprises a marine environment water pool, a physical model generating module, a test testing control module and a test data collecting module; the marine environment pool comprises a pool, a wave generator system, a resistance type wave height instrument and a current meter; the resistance wave height meter is used for measuring wave height, and the current meter is used for measuring water flow speed; the experimental data collection module collects experimental data of the marine environment pool and sends the obtained experimental data to the upper computer, and the object model generation module makes a physical experimental model according to the CAD model created by the model input module and transfers the physical experimental model to the marine environment pool for experiment.
Preferably, the boundary data of the boundary condition input module of the numerical simulation module is determined according to the boundary conditions of the past calculation example library module in the experience learning library module, and is adjusted according to specific calculation conditions.
Preferably, the experience learning module further comprises a neural network module, the neural network module reads data of the practical example library module and the previous calculation example library module, performs preliminary learning according to the current input model input module, and outputs a learning result to the numerical simulation module, so that the convergence speed of numerical calculation is increased, and the result is obtained as soon as possible.
Preferably, the upper computer can perform data verification and verification according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, and if the data trends of the two data are consistent, the three-dimensional data calculation result is considered to be correct, and the upper computer is used for outputting three-dimensional display and outputting in other modes.
Preferably, the previous calculation example library module of the experience learning library module records three-dimensional numerical calculation result data submitted by the numerical simulation module and experimental data obtained by the physical model testing module.
The application also provides a numerical simulation method of the flexible pipeline test system based on the complex marine environment, which comprises the flexible pipeline test system based on the complex marine environment, wherein the flexible pipeline test system comprises a model input module, a numerical simulation module, a physical model test module, an experience learning library module and an upper computer;
the model input module is used for creating a flexible pipeline and marine environment CAD model based on a complex marine environment, and is respectively connected with the numerical simulation module and the physical model test module;
the numerical simulation module comprises a numerical calculation grid generation module, a boundary condition input module, a numerical calculation module and a CAD three-dimensional numerical display module, and is connected with an upper computer;
the experience learning library module comprises a practical example library module and a past calculation example library module, and the experience learning module is in signal connection with the numerical simulation module, the model input module and the physical model testing module; the practical example library module records the use and actual measurement data of the conventional seabed flexible pipeline; the previous calculation example library module stores the result and the calculation model of each three-dimensional numerical calculation;
the physical model testing module comprises a marine environment water pool, a physical model generating module, a test testing control module and a test data collecting module; the marine environment pool comprises a pool, a wave generator system, a resistance type wave height instrument and a current meter; the resistance wave height meter is used for measuring wave height, and the current meter is used for measuring water flow speed;
when numerical simulation is carried out, the method comprises the following steps:
s1, inputting a design target and a design scene through the model input module according to an actual design target, wherein the model input module generates a CAD model and sends the CAD model to the numerical simulation module and the object model test module;
s2, after the numerical simulation module receives the CAD model, the numerical simulation module forms a grid capable of numerical calculation through a calculation grid production module after receiving the CAD model, the boundary condition input module obtains a calculation boundary condition input in the upper computer, the numerical calculation module performs three-dimensional numerical calculation according to the numerical calculation grid and the boundary condition generated by the numerical calculation grid generation module, sends a three-dimensional numerical calculation result to a CAD three-dimensional numerical display module for display, and simultaneously sends three-dimensional numerical calculation result data to the upper computer;
s3, after the numerical value calculation of the numerical value simulation module is completed, the object model generation module makes a physical experiment model according to the CAD model created by the model input module, and transfers the physical experiment model to a marine environment water pool for experiment; the experimental data collection module collects experimental data of the marine environment pool and sends the obtained experimental data to the upper computer;
s4, the upper computer performs data verification and verification according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model test module, if the data trends of the two data are consistent, the three-dimensional data calculation result is considered to be correct, and the upper computer is used for outputting three-dimensional display and outputting in other modes;
and S5, the previous calculation example library module of the experience learning library module records three-dimensional numerical calculation result data submitted by the numerical simulation module and experimental data obtained by the physical model test module.
Preferably, in step S2, the boundary data of the boundary condition input module of the numerical simulation module is determined according to the boundary conditions of the past calculation example library module in the empirical learning library module, and is adjusted according to specific calculation conditions.
Preferably, in step S2, the experience learning module further includes a neural network module, and the neural network module reads data of the practical example library module and the previous calculation library module, performs preliminary learning according to the current input model input module, and outputs a learning result to the numerical simulation module, so as to accelerate convergence speed of numerical calculation and obtain a result as soon as possible.
Preferably, in step S4, during data verification and verification performed by the upper computer according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are inconsistent, the experimental data tested by the physical model may be inaccurate due to a scale effect, and the boundary condition or constraint condition of the three-dimensional data calculation may also be inaccurate; at this time, the boundary conditions or the constraint conditions of the past calculation case library module of the experience learning module are used for modification, the numerical calculation of the numerical simulation module in the step S2 is performed again, and the steps S3 and the following steps are executed.
Preferably, in step S4, during data verification and verification by the upper computer according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are not consistent and are modified by using the boundary conditions or constraint conditions of the past calculation example library module of the empirical learning module, the numerical calculation of the numerical simulation module in step S2 is performed again, and the data verification and verification are performed on the calculation result and the experimental data obtained by the physical model testing module for comparison again, and if the data trends of the two data are not consistent, the size of the physical model is adjusted to reduce the influence of the size effect.
The method comprises the steps of designing a flexible pipeline design method based on a complex marine environment, designing 5-10 flexible pipeline layout schemes by combining a practical example library module of an experience learning library module and a case stored in a conventional calculation library module according to new design conditions, calculating by using a test system of the flexible pipeline based on the complex marine environment, and selecting an optimal scheme according to a calculation result.
The invention has the beneficial effects that:
the invention designs a three-dimensional numerical simulation method of a flexible pipe system under a marine environment by combining numerical simulation and physical experiments, on one hand, a numerical calculation simulation method and a physical model test method are combined, and the two methods are mutually crossed and verified, so that numerical calculation and a physical test model obtain the most accurate result, and numerical calculation errors caused by incorrect input initial parameters in the numerical calculation are eliminated; meanwhile, the physical model test error caused by the size effect can be prevented;
on the other hand, the method utilizes the results of the previous model and the previous example and utilizes the learning method of the neural network to accelerate the convergence of numerical calculation, thereby reducing the calculation time and the configuration of calculation equipment, improving the calculation capability and saving the cost. Moreover, the storage module stores a large number of examples, so that a design basis can be provided for design, and a rapid design scheme can be realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a flexible pipeline testing system based on a complex marine environment;
FIG. 2 is a block diagram of a numerical simulation test module design of the present invention;
FIG. 3 is a numerical wave water pool calculation domain of the physical model test module of the present invention;
FIG. 4 is a wave pool configuration diagram of the physical model test module of the present invention;
FIG. 5 is a schematic diagram of the physical model test module according to the present invention.
The various reference numbers in the figures mean:
1. an upper computer; 2. a numerical simulation module; 3. a physical model test module; 4. an experience learning library module; 5. a model input module; 6. a numerical calculation grid generation module; 7. a boundary condition input module; 8. a numerical calculation module; 9. a CAD three-dimensional numerical value display module; 10. a marine environmental pool; 11. a physical model generation module; 12. a test control module; 13. and an experimental data collection module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment discloses a test system of a flexible pipeline based on a complex marine environment, which is shown in fig. 1 and is characterized in that the test system of the flexible pipeline comprises a model input module, a numerical simulation module, a physical model test module, an experience learning library module and an upper computer;
the model input module is used for creating a flexible pipeline and marine environment CAD model based on a complex marine environment, and is respectively connected with the numerical simulation module and the physical model test module; after the CAD model is finished, the CAD model is sent to a numerical simulation module and an object model testing module;
the numerical simulation module comprises a numerical calculation grid generation module, a boundary condition input module, a numerical calculation module and a CAD three-dimensional numerical display module, and is connected with an upper computer; the numerical simulation module forms a grid capable of numerical calculation through a calculation grid production module after receiving a CAD model, the boundary condition input module acquires a calculation boundary condition input in the upper computer, the numerical calculation module performs three-dimensional numerical calculation according to the numerical calculation grid and the boundary condition generated by the numerical calculation grid generation module, and sends a three-dimensional numerical calculation result to a CAD three-dimensional numerical display module for display, and meanwhile, sends three-dimensional numerical calculation result data to the upper computer;
the experience learning library module comprises a practical example library module and a past calculation example library module, and the experience learning module is in signal connection with the numerical simulation module, the model input module and the physical model testing module; the practical example library module records the use and actual measurement data of the conventional seabed flexible pipeline; the previous calculation example library module stores the result and the calculation model of each three-dimensional numerical calculation;
the physical model testing module comprises a marine environment water pool, a physical model generating module, a test testing control module and a test data collecting module; the marine environment pool comprises a pool, a wave generator system, a resistance type wave height instrument and a current meter; the resistance wave height meter is used for measuring wave height, and the current meter is used for measuring water flow speed; the experimental data collection module collects experimental data of the marine environment pool and sends the obtained experimental data to the upper computer, the object model generation module makes a physical experimental model according to the CAD model created by the model input module and transfers the physical experimental model to the marine environment pool for experiment, and the experimental test control module performs a physical simulation experiment according to the physical experimental model and experimental parameters.
Preferably, the boundary data of the boundary condition input module of the numerical simulation module is determined according to the boundary conditions of the past calculation example library module in the experience learning library module, and is adjusted according to specific calculation conditions.
Preferably, the experience learning module further comprises a neural network module, the neural network module reads data of the practical example library module and the previous calculation example library module, performs preliminary learning according to the current input model input module, and outputs a learning result to the numerical simulation module, so that the convergence speed of numerical calculation is increased, and the result is obtained as soon as possible.
Preferably, the upper computer can perform data verification and verification according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, and if the data trends of the two data are consistent, the three-dimensional data calculation result is considered to be correct, and the upper computer is used for outputting three-dimensional display and outputting in other modes.
Preferably, the previous calculation example library module of the experience learning library module records three-dimensional numerical calculation result data submitted by the numerical simulation module and experimental data obtained by the physical model testing module.
Example 2
The embodiment also provides a numerical simulation method of the test system of the flexible pipeline based on the complex marine environment, which comprises the test system of the flexible pipeline based on the complex marine environment, wherein the test system of the flexible pipeline comprises a model input module, a numerical simulation module, a physical model test module, an experience learning library module and an upper computer;
the model input module is used for creating a flexible pipeline and marine environment CAD model based on a complex marine environment, and is respectively connected with the numerical simulation module and the physical model test module;
the numerical simulation module comprises a numerical calculation grid generation module, a boundary condition input module, a numerical calculation module and a CAD three-dimensional numerical display module, and is connected with an upper computer;
the experience learning library module comprises a practical example library module and a past calculation example library module, and the experience learning module is in signal connection with the numerical simulation module, the model input module and the physical model testing module; the practical example library module records the use and actual measurement data of the conventional seabed flexible pipeline; the previous calculation example library module stores the result and the calculation model of each three-dimensional numerical calculation;
the physical model testing module comprises a marine environment water pool, a physical model generating module, a test testing control module and a test data collecting module; the marine environment pool comprises a pool, a wave generator system, a resistance type wave height instrument and a current meter; the resistance wave height meter is used for measuring wave height, and the current meter is used for measuring water flow speed; the test control module carries out a physical simulation test according to the physical test model and the test parameters;
when numerical simulation is carried out, the method comprises the following steps:
s1, inputting a design target and a design scene through the model input module according to an actual design target, wherein the model input module generates a CAD model and sends the CAD model to the numerical simulation module and the object model test module;
s2, after the numerical simulation module receives the CAD model, the numerical simulation module forms a grid capable of numerical calculation through a calculation grid production module after receiving the CAD model, the boundary condition input module obtains a calculation boundary condition input in the upper computer, the numerical calculation module performs three-dimensional numerical calculation according to the numerical calculation grid and the boundary condition generated by the numerical calculation grid generation module, sends a three-dimensional numerical calculation result to a CAD three-dimensional numerical display module for display, and simultaneously sends three-dimensional numerical calculation result data to the upper computer;
s3, after the numerical value calculation of the numerical value simulation module is completed, the object model generation module makes a physical experiment model according to the CAD model created by the model input module, and transfers the physical experiment model to a marine environment water pool for experiment; the experimental data collection module collects experimental data of the marine environment pool and sends the obtained experimental data to the upper computer;
s4, the upper computer performs data verification and verification according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model test module, if the data trends of the two data are consistent, the three-dimensional data calculation result is considered to be correct, and the upper computer is used for outputting three-dimensional display and outputting in other modes;
and S5, the previous calculation example library module of the experience learning library module records three-dimensional numerical calculation result data submitted by the numerical simulation module and experimental data obtained by the physical model test module.
Preferably, in step S2, the boundary data of the boundary condition input module of the numerical simulation module is determined according to the boundary conditions of the past calculation example library module in the empirical learning library module, and is adjusted according to specific calculation conditions.
Preferably, in step S2, the experience learning module further includes a neural network module, and the neural network module reads data of the practical example library module and the previous calculation library module, performs preliminary learning according to the current input model input module, and outputs a learning result to the numerical simulation module, so as to accelerate convergence speed of numerical calculation and obtain a result as soon as possible.
Preferably, in step S4, during data verification and verification performed by the upper computer according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are inconsistent, the experimental data tested by the physical model may be inaccurate due to a scale effect, and the boundary condition or constraint condition of the three-dimensional data calculation may also be inaccurate; at this time, the boundary conditions or the constraint conditions of the past calculation case library module of the experience learning module are used for modification, the numerical calculation of the numerical simulation module in the step S2 is performed again, and the steps S3 and the following steps are executed.
Preferably, in step S4, during data verification and verification by the upper computer according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are not consistent and are modified by using the boundary conditions or constraint conditions of the past calculation example library module of the empirical learning module, the numerical calculation of the numerical simulation module in step S2 is performed again, and the data verification and verification are performed on the calculation result and the experimental data obtained by the physical model testing module for comparison again, and if the data trends of the two data are not consistent, the size of the physical model is adjusted to reduce the influence of the size effect.
Example 3
The implementation also discloses a flexible pipeline design method based on the complex marine environment, which utilizes a practical example library module of the experience learning library module and a case stored in the past calculation library module to design a scheme for laying 5-10 flexible pipelines by combining new design conditions, utilizes a test system of the flexible pipelines based on the complex marine environment to calculate, and selects an optimal scheme according to a calculation result.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (5)

1. A numerical simulation method of a test system of a flexible pipeline in a complex marine environment is characterized by comprising the test system of the flexible pipeline based on the complex marine environment, wherein the test system of the flexible pipeline comprises a model input module, a numerical simulation module, a physical model test module, an experience learning library module and an upper computer; the model input module is used for creating a flexible pipeline and marine environment CAD model based on a complex marine environment, and is respectively connected with the numerical simulation module and the physical model test module; after the CAD model is completed, the CAD model is sent to a numerical simulation module and a physical model test module; the numerical simulation module comprises a numerical calculation grid generation module, a boundary condition input module, a numerical calculation module and a CAD three-dimensional numerical display module, and is connected with an upper computer; the numerical simulation module forms a grid capable of numerical calculation through a calculation grid generation module after receiving a CAD model, the boundary condition input module acquires a calculation boundary condition input in the upper computer, the numerical calculation module performs three-dimensional numerical calculation according to the numerical calculation grid and the boundary condition generated by the numerical calculation grid generation module, and sends a three-dimensional numerical calculation result to a CAD three-dimensional numerical display module for display, and meanwhile, sends three-dimensional numerical calculation result data to the upper computer; the experience learning library module comprises a practical example library module and a past calculation example library module, and the experience learning library module is in signal connection with the numerical simulation module, the model input module and the physical model testing module; the practical example library module records the use and actual measurement data of the conventional seabed flexible pipeline; the previous calculation example library module stores the result and the calculation model of each three-dimensional numerical calculation; the physical model testing module comprises a marine environment water pool, a physical model generating module, a test testing control module and a test data collecting module; the marine environment pool comprises a pool, a wave generator system, a resistance type wave height instrument and a current meter; the resistance wave height meter is used for measuring wave height, and the current meter is used for measuring water flow speed; the experimental data collection module collects experimental data of the marine environment pool and sends the obtained experimental data to the upper computer, and the physical model generation module makes a physical experimental model according to the CAD model created by the model input module and transfers the physical experimental model to the marine environment pool for experiment; the test control module carries out a physical simulation test according to the physical test model and the test parameters; when numerical simulation is carried out, the method comprises the following steps:
s1, inputting a design target and a design scene through the model input module according to an actual design target, wherein the model input module generates a CAD model and sends the CAD model to the numerical simulation module and the physical model test module;
s2, after receiving the CAD model, the numerical simulation module forms a grid capable of numerical calculation through a calculation grid generation module, the boundary condition input module acquires a calculation boundary condition input in the upper computer, the numerical calculation module performs three-dimensional numerical calculation according to the numerical calculation grid and the boundary condition generated by the numerical calculation grid generation module, and sends the result of the three-dimensional numerical calculation to a CAD three-dimensional numerical display module for display, and meanwhile, sends the data of the result of the three-dimensional numerical calculation to the upper computer;
s3, after the numerical value calculation of the numerical value simulation module is completed, the physical model generation module makes a physical experiment model according to the CAD model created by the model input module, and transfers the physical experiment model to a marine environment water pool for experiment; the experimental data collection module collects experimental data of the marine environment pool and sends the obtained experimental data to the upper computer;
s4, the upper computer performs data verification and verification according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are consistent, the three-dimensional numerical calculation result is considered to be correct, and the upper computer is used for outputting three-dimensional display;
and S5, the previous calculation example library module of the experience learning library module records three-dimensional numerical calculation result data submitted by the numerical simulation module and experimental data obtained by the physical model test module.
2. The method for numerical simulation of a test system for a flexible pipe based on a complex marine environment according to claim 1, wherein in the step S2, the boundary data of the boundary condition input module of the numerical simulation module is determined according to the boundary conditions of the past calculation example library module in the empirical learning library module, and is adjusted according to specific calculation conditions.
3. The method for numerical simulation of a testing system of a flexible pipeline based on a complex marine environment as claimed in claim 2, wherein in the step S2, the experience learning library module further comprises a neural network module, the neural network module reads data of the practical example library module and the past calculation library module, performs preliminary learning according to the current model input module, and outputs a learning result to the numerical simulation module as an initial input value, thereby increasing convergence speed of numerical calculation and obtaining a result as soon as possible.
4. The method for numerical simulation of a testing system for a flexible pipe based on a complex marine environment as claimed in claim 3, wherein in the step S4, in the data verification and verification by the upper computer according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are not consistent, the boundary conditions or constraint conditions of the past calculation example library module of the empirical learning library module are used for modification, the numerical calculation of the numerical simulation module in the step S2 is performed again, and the steps S3 and the following steps are performed.
5. The method for numerical simulation of a test system for a flexible pipe based on a complex marine environment of claim 4, wherein in the step S4, in the data verification and verification by the upper computer according to the three-dimensional numerical calculation result data submitted by the numerical simulation module and the experimental data obtained by the physical model testing module, if the data trends of the two data are not consistent and are modified by using the boundary conditions or constraint conditions of the past calculation example library module of the empirical learning library module, the numerical calculation of the numerical simulation module in the step S2 is performed again, and the data verification and verification are performed again on the calculation result and the experimental data obtained by the physical model testing module, and if the data trends of the two data are not consistent, the size of the physical model is adjusted to reduce the influence of the size effect.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101261177A (en) * 2008-04-24 2008-09-10 上海交通大学 Active mode ocean platform mixing model test accomplishing method
CN101561839A (en) * 2008-05-13 2009-10-21 赵汝江 Method for analyzing and measuring safety of petroleum pipeline suspended on seabed
CN110929441A (en) * 2019-11-22 2020-03-27 中国石油大学(华东) Deep sea flexible pipe counterweight and design method

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2751032A4 (en) * 2011-08-29 2015-06-17 Purdue Research Foundation Continuous-flow solar ultraviolet disinfection system for drinking water
CN103440538B (en) * 2013-09-11 2016-05-18 水利部交通运输部国家能源局南京水利科学研究院 Step navigation hinge combined optimization dispatching method based on navigation channel Calculation of Hydrodynamic
CN105975678B (en) * 2016-05-04 2019-04-19 浙江省计量科学研究院 A kind of oil-gas pipeline Prediction model for residual strength method based on parameterized model
WO2018156087A1 (en) * 2017-02-27 2018-08-30 National University Of Singapore Finite-element analysis augmented reality system and method
CN107563592A (en) * 2017-07-31 2018-01-09 上海大学 A kind of multilayer non-adherent ocean flexible pipe limit torsional property fast appraisement method
CN108875261A (en) * 2018-07-05 2018-11-23 中南大学 A kind of strong vibration environment down space pipe vibration-damping design method
CN109447441B (en) * 2018-10-17 2021-12-17 国电南瑞科技股份有限公司 Transient stability risk assessment method considering uncertainty of new energy unit
CN111311734A (en) * 2020-02-14 2020-06-19 中核第四研究设计工程有限公司 Three-dimensional numerical simulation method for hydraulic characteristics of flood discharge system of uranium tailing pond
CN111645343A (en) * 2020-05-27 2020-09-11 江苏海洋大学 Corrosion-resistant high-strength glass fiber reinforced plastic storage tank and production method thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101261177A (en) * 2008-04-24 2008-09-10 上海交通大学 Active mode ocean platform mixing model test accomplishing method
CN101561839A (en) * 2008-05-13 2009-10-21 赵汝江 Method for analyzing and measuring safety of petroleum pipeline suspended on seabed
CN110929441A (en) * 2019-11-22 2020-03-27 中国石油大学(华东) Deep sea flexible pipe counterweight and design method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Influence of Proximity of the Seabed on Hydrodynamic Forces on a Submarine Piggyback Pipeline Under Wave Action;Cheng XF 等;《JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME》;20130531;第135卷(第2期);全文 *

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